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D2C is a VAE-based generative model suitable for few-shot conditional generation.
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2026-02-18 20:25:04
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A General Recipe for Likelihood-free Bayesian Optimization A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song* 1 , Lantao Yu* 2 , Willie Neiswanger 2 , Stefano Ermon 2 1 NVIDIA , 2 Stanford University . * Equal contribution arXiv Code International Conference on Machine Learning (ICML) 2022 In Bayesian Optimization (BO), the typical acquisition function requires a probabilistic surrogate model (such as Gaussian Processes (GP) ). In Likelihood-free Bayesian Optimization (LFBO) , the surrogate model is a deterministic model that directly reflects the acquisition function; this approach bypasses expensive GP inference yet results in similar sequential queries. Abstract The acquisition function, a critical component in Bayesian optimization (BO), can often be written as the expectation of a utility function under a surrogate model. However, to ensure that acquis...
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